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Chapter 1
Introduction
1.1
What this book is, and what it isn’t
This book provides implementations of common and uncommon algorithms in
pseudocode which is language independent and provides for easy porting to most
imperative programming languages. It is not a definitive book on the theory of
data structures and algorithms.
For the most part this book presents implementations devised by the authors
themselves based on the concepts by which the respective algorithms are based
upon so it is more than possible that our implementations differ from those
considered the norm.
You should use this book alongside another on the same subject, but one
that contains formal proofs of the algorithms in question. In this book we use
the abstract big Oh notation to depict the run time complexity of algorithms
so that the book appeals to a larger audience.
1.2
Assumed knowledge
We have written this book with few assumptions of the reader, but some have
been necessary in order to keep the book as concise and approachable as possible.
We assume that the reader is familiar with the following:
1. Big Oh notation
2. An imperative programming language
3. Object oriented concepts
1.2.1
Big Oh notation
For run time complexity analysis we use big Oh notation extensively so it is vital
that you are familiar with the general concepts to determine which is the best
algorithm for you in certain scenarios. We have chosen to use big Oh notation
for a few reasons, the most important of which is that it provides an abstract
measurement by which we can judge the performance of algorithms without
using mathematical proofs.
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